Syn ecosystem projects

The Syn ecosystem covers reaction curation, graph-based reaction modeling, reaction rule extraction, reaction classification, benchmarking, and education.

Highlighted components

SynRBL

Reaction rebalancing and curation workflows designed to improve reaction data quality.

SynKit

Graph-based Python framework for rule-based reaction modeling and analysis.

SynTemp

Efficient extraction of graph-based reaction rules from large reaction datasets.

SynCat

Molecule-level attention graph neural network for precise reaction classification.

SynRXN

Open benchmark and curated dataset for computational reaction modeling.

SynEdu

Research-oriented educational platform for executable talktorials in graph-theoretical reaction modeling and computational molecular science.